CN112208384B - Energy optimization intelligent control system and method for parking lot charging pile - Google Patents
Energy optimization intelligent control system and method for parking lot charging pile Download PDFInfo
- Publication number
- CN112208384B CN112208384B CN202011092607.9A CN202011092607A CN112208384B CN 112208384 B CN112208384 B CN 112208384B CN 202011092607 A CN202011092607 A CN 202011092607A CN 112208384 B CN112208384 B CN 112208384B
- Authority
- CN
- China
- Prior art keywords
- charging
- maintenance
- vehicle
- charging pile
- reservation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/62—Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/63—Monitoring or controlling charging stations in response to network capacity
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/66—Data transfer between charging stations and vehicles
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/67—Controlling two or more charging stations
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention discloses an energy optimization intelligent control system and method for a parking lot charging pile, which comprises an appointment analysis module, a task allocation module, a timing reminding module, a layout analysis module and a safety analysis module, wherein the appointment analysis module is used for carrying out appointment analysis on an appointment charging request; the layout analysis module is used for optimizing and analyzing the layout of the charging pile, and the layout and installation of the charging pile are optimized; the timing reminding module is used for reminding the insufficient electric quantity of the charging vehicle, and the charging system can remind the vehicle owner that the charging of the vehicle is finished in time, so that the vehicle is prevented from occupying the charging area of the charging pile all the time, and the use efficiency of the pile position of the charging pile is optimized; the safety analysis module is used for carrying out safety analysis on the charging pile in the charging process, and safety early warning and early warning can be realized by carrying out safety analysis on the charging pile in the charging process.
Description
Technical Field
The invention belongs to the field of charging pile application, relates to an energy optimization intelligent control technology, and particularly relates to an energy optimization intelligent control system and method for a parking lot charging pile.
Background
The charging pile has the function similar to an oiling machine in a gas station, can be fixed on the ground or on the wall, is installed in public buildings (public buildings, markets, public parking lots and the like) and residential district parking lots or charging stations, and can charge various types of electric vehicles according to different voltage grades. The input end of the charging pile is directly connected with an alternating current power grid, and the output end of the charging pile is provided with a charging plug for charging the electric automobile. Fill electric pile and generally provide two kinds of charging methods of conventional charging and quick charge, people can use specific charging card to swipe the card and use on the human-computer interaction operation interface that fills electric pile and provide, carry out operations such as corresponding charging method, charging time, expense data printing, fill electric pile display screen and can show data such as the charge volume, expense, charging time.
The number of the charging piles in the parking lot is limited, particularly when the charging piles in the parking lot are in use rush hours, the charging piles cannot meet the charging requirements of charging vehicles, a vehicle owner needs to spend a large amount of time in queuing for charging, ordered charging of the charging vehicles cannot be achieved, and the charging waiting system is not optimized; charging piles with corresponding quantity cannot be matched with the area where the parking lot is located, and due to random configuration of the charging piles, the charging piles are idle and wasted, or the charging demands are difficult to meet due to the fact that the number of the charging piles is small; after charging of a vehicle of a parking lot charging pile is finished, a vehicle owner cannot be reminded of the fact that the vehicle is charged completely in time, so that the vehicle always occupies a charging area of the charging pile, the charging requirements of other vehicles are influenced, and no corresponding measures are taken for the phenomenon of occupying a pile position of the charging pile;
in the charging process of the charging pile, safety accidents can be caused by various factors, and the current charging pile has no corresponding safety analysis function and cannot early warn and alarm in advance; when charging pile breaks down, the maintenance can not be reported in the first time, so that the charging pile is idle and wasted, and the charging efficiency of a vehicle is also influenced.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an energy optimization intelligent control system and method for a parking lot charging pile.
The technical problem to be solved by the invention is as follows:
(1) the number of the charging piles in the parking lot is limited, particularly when the charging piles in the parking lot are in use rush hours, the charging piles cannot meet the charging requirements of charging vehicles, a vehicle owner needs to spend a large amount of time in queuing for charging, ordered charging of the charging vehicles cannot be achieved, and the charging waiting system is not optimized;
(2) charging piles with corresponding quantity cannot be matched with the area where the parking lot is located, and due to random configuration of the charging piles, the charging piles are idle and wasted, or the charging demands are difficult to meet due to the fact that the number of the charging piles is small;
(3) after charging of a vehicle of a parking lot charging pile is finished, a vehicle owner cannot be reminded of the fact that the vehicle is charged completely in time, so that the vehicle always occupies a charging area of the charging pile, the charging requirements of other vehicles are influenced, and no corresponding measures are taken for the phenomenon of occupying a pile position of the charging pile;
(4) in the charging process of the charging pile, safety accidents can be caused by various factors, and the current charging pile has no corresponding safety analysis function and cannot early warn and alarm in advance;
(5) when filling electric pile and breaking down, unable very first time reports the maintenance, leads to filling the idle waste of electric pile, has also influenced the charge efficiency of vehicle.
The purpose of the invention can be realized by the following technical scheme: an energy optimization intelligent control system of a parking lot charging pile comprises a data acquisition module, a positioning module, an appointment analysis module, a task distribution module, a timing reminding module, a layout analysis module, a safety analysis module, a server and a plurality of mobile terminals;
the mobile terminals are used for registering and logging in by users and maintenance personnel and sending personal information to the server;
the data acquisition module is used for acquiring the interface type of the charging pile, the power consumption of the vehicle, the vehicle speed, the electric quantity of the vehicle, a picture of the charging pile, the charging rate of the charging pile, the quantity of the charging pile and the area of the area, and sending the interface type of the charging pile, the power consumption of the vehicle, the vehicle speed, the electric quantity of the vehicle, the picture of the charging pile, the charging rate of the charging pile, the quantity of the charging pile and the area of the area to the server; the positioning module is used for positioning the geographic positions of the charging vehicles and the charging piles; the reservation module is used for sending a reservation charging request to a user through a mobile terminal and sending the reservation charging request to the reservation analysis module; the reservation analysis module is used for performing reservation analysis on the reservation charging request;
the layout analysis module is used for carrying out optimization analysis on the layout of the charging pile, and the specific analysis process is as follows:
SS 1: acquiring an area where a charging pile is located, and equally dividing the area into a plurality of small areas o, o being 1, … …, n;
SS 2: acquiring the number of the charging vehicles in each small area, and marking the number of the charging vehicles as CCo; acquiring the total number of vehicles in each small area, marking the total number of the vehicles as Co, and dividing the total number of the vehicles Co by the number of the charged vehicles CCo to obtain the charging vehicle utilization rate CCLo of each small area;
SS 3: acquiring the total charging times and the number of charging piles of each small area, and dividing the total charging times by the number of charging piles to obtain the average charging times of the charging piles in each small area;
SS 4: the using times of the charging piles in each cell are obtained in a traversing mode, and then the number of the charging piles of which the charging times exceed the average charging times in each cell is obtained;
SS 5: dividing the number of the charging piles of which the charging times exceed the average charging time in each small area by the number of the charging piles in each small area to obtain the effective utilization rate CZLo of the charging piles in each small area;
SS 6: obtaining the actual utilization rate CPo of the charging pile in each cell by using a formula CPo ═ [ (CCLo + CZLo)/2] × 100%;
SS 7: acquiring the area of a region where charging piles are located, further acquiring the area M of each small region, presetting a charging pile installation distance J, and acquiring the number YCZo of the charging piles in each small region;
SS 8: multiplying the preset charging pile number YCZo of each small area by the actual utilization rate CPo of the charging pile in each small area to obtain the target charging pile number MCZo of each small area;
SS 9: sending the calculated target charging pile number MCZo of each small area to a server, and carrying out optimized layout on the charging pile number of each small area by the server according to the target charging pile number;
the timing reminding module is used for reminding the insufficient electric quantity of the charging vehicle; the safety analysis module is used for carrying out safety analysis on the charging pile which is being charged; and the task distribution module is used for distributing maintenance tasks of the charging pile.
Further, the specific analysis process of the reservation analysis module is as follows:
s1: acquiring the number of the mobile terminals, and marking the mobile terminals as u, u being 1, … …, n;
s2: acquiring the times of sending the charging reservation request by the mobile terminal, and marking the times of sending the charging reservation request by the mobile terminal as Cu;
s3: acquiring the electric quantity of a vehicle corresponding to the mobile terminal, and marking the electric quantity of the vehicle corresponding to the mobile terminal as Du;
s4: acquiring the reservation time length of the reservation charging request sent by the mobile terminal, and marking the reservation time length of the reservation charging request sent by the mobile terminal as Tu;
s5: acquiring a member level Hui, i of the mobile terminal is 1, 2, 3, 4; wherein, Hu1 is X1, Hu2 is X2, Hu3 is X3, Hu4 is X4, X1, X2, X3 and X4 are all preset fixed values, and X1 is more than X2 is more than X3 is more than X4;
s6: calculating a reservation priority value Yu of the mobile terminal by using a formula, wherein the specific formula is as follows:
s7: and the server processes the reservation charging request of the mobile terminal from top to bottom according to the reservation priority value descending order list.
Further, the specific reminding steps of the timing reminding module are as follows:
p1: acquiring the current electric quantity of the charging vehicle, and marking the current electric quantity of the charging vehicle as DL;
p2: acquiring the current geographic position and the target geographic position of the charging vehicle, and further acquiring the running distance JL of the charging vehicle;
p3: acquiring a vehicle speed CS of the charging vehicle, and obtaining a time T1 taken by the charging vehicle to reach the target geographical position by using T1 (JL/CS);
p4: acquiring an electric quantity consumption value DH of the charging vehicle, and calculating the time T2 used by the current electric quantity of the charging vehicle by using the value DL/DH of T2;
p5: the time T1 taken by the charging vehicle to reach the target geographic position is compared with the time T2 taken by the current electric quantity of the charging vehicle;
p6: if T1 > T2/2, an immediate charge signal is generated;
if T1 is less than or equal to T2/2, an immediate charging signal does not need to be generated;
p7: and sending the charging signal to the appointed mobile terminal.
Further, the specific analysis process of the security analysis module is as follows:
k1: acquiring the charging time of a charging vehicle, and dividing the charging time into a plurality of time points t;
k2: acquiring a temperature value WDt, a voltage value DYt and a current value DLt of the charging pile at a corresponding time point t;
k3: obtaining an average temperature value WDp, an average voltage value DYp and an average current value DLp of the charging pile in the charging time by using an addition and averaging formula;
k4: acquiring temperature limit values, voltage limit values and current limit values of the charging pile at a plurality of time points t, wherein the temperature limit values comprise a temperature upper limit value WDmax, a temperature lower limit value WDmin, a voltage upper limit value DYmax, a voltage lower limit value DYmin, a current upper limit value DLmax and a current lower limit value DLmin;
k5: the safety value AQ of the charging pile during the charging time is calculated by using a formula, wherein the specific formula is as follows:
k6: and if the safety value AQ exceeds a set safety threshold value, generating a charging safety signal and loading the charging safety signal into the server.
Further, the specific allocation process of the task allocation module is as follows:
SO 1: charging personnel shoot a charging pile damage picture through the mobile terminal, the charging pile damage picture is uploaded to the server, and maintenance task allocation is carried out after background personnel confirm that the charging pile is damaged;
SO 2: acquiring a maintenance worker in an idle state, and marking the maintenance worker as e, e as 1, … …, n;
SO 3: the total maintenance times WZe and WCe of the charging piles of maintenance personnel are obtained, and the maintenance success rate We of the maintenance personnel is obtained by dividing the total maintenance times WZe of the charging piles by the maintenance success times WCe of the charging piles;
SO 4: acquiring the current maintenance task amount of maintenance personnel, and marking the current maintenance task amount as WRe; acquiring total maintenance time WTE of all charging piles of maintenance personnel, and calculating average maintenance time WPTe of the maintenance personnel by dividing the total maintenance time WTE by the total maintenance times WZe of the charging piles;
SO 5: the maintenance value WXe of the maintenance personnel is calculated by using a formula, wherein the specific formula is as follows:
SO 6: acquiring the working duration of a maintenance worker, and marking the working duration as Te; establishing a two-dimensional coordinate system by taking the fault charging pile as an original point, and calculating a straight-line distance De between a maintenance worker and the fault charging pile by using a distance formula between two points;
SO 7: obtaining the maintenance price of a maintenance worker, marking the maintenance price as Pe, obtaining the goodness of the maintenance worker, and marking the goodness as He;
SO 8: calculating to obtain a recommended value Ve by using a formula, wherein the specific calculation formula is as follows:
SO 9: and selecting the maintainer with the largest electing value as the maintainer of the charging pile, and increasing the maintenance amount of the maintainer once.
Further, the personal information comprises user information and maintenance personnel information, and the user information comprises a user name, an identity number, a real-name authentication mobile phone number, a corresponding vehicle number and a vehicle charging interface type;
the maintenance personnel information comprises maintenance personnel names, identity numbers, real-name authentication mobile phone numbers, personal photos and maintenance information, wherein the maintenance information comprises the job entry time, the total maintenance times, the successful maintenance times, the maintenance task amount, the total maintenance duration, the total maintenance times, the maintenance price and the maintenance qualification rate; and the mobile terminal is also used for uploading a charging pile picture.
Further, the positioning module is also used for acquiring a target geographic position of the charging vehicle.
The energy optimization intelligent control method of the parking lot charging pile specifically comprises the following steps:
the method comprises the following steps: the method comprises the steps that a user and a maintenance person register and log in through a mobile terminal, personal information is sent to a server, a data acquisition module acquires data and sends the data to the server, a reservation module is used for sending a reservation charging request of the user, a reservation analysis module is used for performing reservation analysis on the reservation charging request, the number of the mobile terminal is firstly obtained, then the number of times of sending the reservation charging request by the mobile terminal, the electric quantity of a vehicle corresponding to the mobile terminal, the reservation duration of sending the reservation charging request by the mobile terminal and the member grade of the mobile terminal are obtained, a reservation priority value is calculated by a formula, the reservation priority value is arranged in a descending order to generate a descending order arrangement table of the reservation priority value, and the server processes the reservation charging request of the mobile terminal from top to bottom according to the descending order arrangement table of the reservation priority value;
step two: the method comprises the steps of performing optimization analysis on the layout of charging piles through a layout analysis module, firstly obtaining the area where the charging piles are located, equally dividing the area into a plurality of small areas, obtaining the number of charging vehicles and the total number of vehicles in each small area, obtaining the charging vehicle utilization rate of each small area by dividing the number of the charging vehicles by the total number of the vehicles, then obtaining the total number of charging times and the number of charging piles of each small area, obtaining the average charging times of the charging piles in each small area by dividing the total number of the charging times by the number of the charging piles, obtaining the number of the charging piles with the charging times exceeding the average charging times in each small area in a traversing manner, obtaining the effective utilization rate of the charging piles in each small area by dividing the number of the charging piles with the charging times exceeding the average charging times in each small area by the number of the charging piles in each small area, and obtaining the actual utilization rate of the charging piles in each small area by a formula, finally, the area of the area where the charging pile is located is obtained, the area of each small area is obtained, the mounting distance of the charging piles is preset in advance, the preset charging pile number of each small area is obtained, the preset charging pile number of each small area is multiplied by the actual utilization rate of the charging pile in each small area to obtain the target charging pile number of each small area, the target charging pile number of each small area obtained through calculation is sent to a server, and the server optimizes the layout of the charging pile number of each small area according to the target charging pile number;
step three: the method comprises the steps that a timing reminding module is used for reminding insufficient electric quantity of a charging vehicle, the current electric quantity, the current geographic position and the target geographic position of the charging vehicle are firstly obtained, the running distance of the charging vehicle is further obtained, the vehicle speed of the charging vehicle is obtained, the time of the charging vehicle reaching the target geographic position is calculated, the electric quantity consumption value of the charging vehicle is obtained, the time of the charging vehicle reaching the current electric quantity is calculated, the time of the charging vehicle reaching the target geographic position is compared with the time of the charging vehicle reaching the current electric quantity, if T1 is greater than T2/352, an immediate charging signal is generated, if T1 is not greater than T2/2, the immediate charging signal does not need to be generated, and the generated charging signal is sent to a designated mobile terminal;
step four: the method comprises the steps that safety analysis is carried out on a charging pile which is being charged through a safety analysis module, firstly, the charging time of a charging vehicle is obtained, the charging time is divided into a plurality of time points, the temperature value, the voltage value and the current value of the charging pile at the corresponding time points are obtained, the average temperature value, the average voltage value and the average current value of the charging pile in the charging time are obtained through an addition and averaging formula, then, the temperature limit value, the voltage limit value and the current limit value of the charging pile in the plurality of time points are obtained, finally, the safety value of the charging pile in the charging time is obtained through formula calculation, and if the safety value exceeds a set safety threshold value, a charging safety signal is generated and loaded into a server;
step five: the maintenance tasks of the charging piles are distributed through the task distribution module, charging personnel shoot a damaged photo of the charging piles through the mobile terminal and upload the damaged photo to the server, background personnel confirm that the charging piles are damaged and then distribute the maintenance tasks, firstly, maintenance personnel in an idle state are obtained, then, the maintenance success rate of the maintenance personnel is obtained, the current maintenance task amount and the average maintenance time are obtained, the maintenance value of the maintenance personnel is calculated through a formula, the job entry time of the maintenance personnel is obtained again, the linear distance between the maintenance personnel and the fault charging pile is obtained, the maintenance price and the good evaluation rate are obtained, the recommended value is calculated through the formula, and the maintenance personnel with the largest value is selected as the maintenance personnel of the charging piles.
Compared with the prior art, the invention has the beneficial effects that:
1. under the condition that the number of the charging piles in the parking lot is limited, particularly during the peak period of use of the charging piles in the parking lot, ordered arrangement can be realized after the reservation charging requests are subjected to reservation analysis, a vehicle owner does not need to spend a large amount of time to queue up for charging, ordered charging of charging vehicles is realized, and a charging waiting system is optimized;
2. according to the invention, the layout analysis is carried out on the area of the parking lot, and the parking lot is matched with a corresponding number of charging piles, so that the phenomena that the charging piles are idle and wasted and the charging requirements are difficult to meet are avoided, and the layout and installation of the charging piles are optimized;
3. according to the invention, after the vehicle is charged, the vehicle owner is timely reminded that the vehicle is charged, the vehicle is prevented from occupying the charging area of the charging pile all the time, and meanwhile, a forced vehicle moving measure is adopted to optimize the use efficiency of the pile position of the charging pile aiming at the phenomenon that the pile position of the charging pile is occupied maliciously or for a long time;
4. the charging pile safety monitoring system can perform safety analysis on the charging pile in the charging process, can perform safety early warning and early warning, and effectively avoids potential safety hazards and property damage;
5. when the charging pile breaks down, the charging pile can be reported and maintained at the first time, and corresponding maintenance personnel are selected to maintain the charging pile efficiently, so that idle waste of the charging pile is avoided, and the charging efficiency of a vehicle is greatly improved.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is an overall system block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an energy optimization intelligent control system and method for a parking lot charging pile includes a data acquisition module, a positioning module, an appointment analysis module, a task allocation module, a timing reminding module, a layout analysis module, a safety analysis module, a forced vehicle moving module, a server and a plurality of mobile terminals;
the mobile terminals are used for registering and logging in by users and maintenance personnel and sending personal information to the server, the personal information comprises user information and maintenance personnel information, the user information comprises user names, identity numbers, real-name authentication mobile phone numbers, corresponding vehicle numbers and vehicle charging interface types, the maintenance personnel information comprises maintenance personnel names, identity numbers, real-name authentication mobile phone numbers, personal photos and maintenance information, and the maintenance information comprises job entry time, total maintenance times, maintenance success times, maintenance task amount, total maintenance time, total maintenance times, maintenance price and maintenance good evaluation rate; the mobile terminals are also used for uploading charging pile pictures;
the data acquisition module is used for acquiring the interface type of the charging pile, the power consumption of the vehicle, the vehicle speed, the electric quantity of the vehicle, a picture of the charging pile, the charging rate of the charging pile, the quantity of the charging pile and the area of the area, and sending the interface type of the charging pile, the power consumption of the vehicle, the vehicle speed, the electric quantity of the vehicle, the picture of the charging pile, the charging rate of the charging pile, the quantity of the charging pile and the area of the area to the server; the positioning module is used for positioning geographic positions of the charging vehicles and the charging piles, and the positioning module is further used for acquiring target geographic positions of the charging vehicles.
The reservation module is used for enabling a user to send a reservation charging request through the mobile terminal and sending the reservation charging request to the reservation analysis module; the reservation analysis module is used for performing reservation analysis on the reservation charging request, and the specific analysis process is as follows:
s1: acquiring the number of the mobile terminals, and marking the mobile terminals as u, u being 1, … …, n;
s2: acquiring the times of sending the charging reservation request by the mobile terminal, and marking the times of sending the charging reservation request by the mobile terminal as Cu;
s3: acquiring the electric quantity of a vehicle corresponding to the mobile terminal, and marking the electric quantity of the vehicle corresponding to the mobile terminal as Du;
s4: acquiring the reservation time length of the reservation charging request sent by the mobile terminal, and marking the reservation time length of the reservation charging request sent by the mobile terminal as Tu; the reserved time length is specifically as follows: subtracting the time of receiving the charging appointment request by the server from the current time of the system to obtain the appointment duration of the charging appointment request;
s5: acquiring a member level Hui, i of the mobile terminal is 1, 2, 3, 4; wherein, Hu1 is X1, Hu2 is X2, Hu3 is X3, Hu4 is X4, X1, X2, X3 and X4 are all preset fixed values, and X1 is more than X2 is more than X3 is more than X4;
s6: calculating a reservation priority value Yu of the mobile terminal by using a formula, wherein the specific formula is as follows:
s7: and the server processes the reservation charging request of the mobile terminal from top to bottom according to the reservation priority value descending order list.
The layout analysis module is used for carrying out optimization analysis on the layout of the charging pile, and the specific analysis process is as follows:
SS 1: acquiring an area where a charging pile is located, and equally dividing the area into a plurality of small areas o, o being 1, … …, n;
SS 2: acquiring the number of the charging vehicles in each small area, and marking the number of the charging vehicles as CCo; acquiring the total number of vehicles in each small area, marking the total number of the vehicles as Co, and dividing the total number of the vehicles Co by the number of the charged vehicles CCo to obtain the charging vehicle utilization rate CCLo of each small area;
SS 3: acquiring the total charging times and the number of charging piles of each small area, and dividing the total charging times by the number of charging piles to obtain the average charging times of the charging piles in each small area;
SS 4: the using times of the charging piles in each cell are obtained in a traversing mode, and then the number of the charging piles of which the charging times exceed the average charging times in each cell is obtained;
SS 5: dividing the number of the charging piles of which the charging times exceed the average charging time in each small area by the number of the charging piles in each small area to obtain the effective utilization rate CZLo of the charging piles in each small area;
SS 6: obtaining the actual utilization rate CPo of the charging pile in each cell by using a formula CPo ═ [ (CCLo + CZLo)/2] × 100%;
SS 7: acquiring the area of a region where charging piles are located, further acquiring the area M of each small region, presetting a charging pile installation distance J, and acquiring the number YCZo of the charging piles in each small region;
SS 8: multiplying the preset charging pile number YCZo of each small area by the actual utilization rate CPo of the charging pile in each small area to obtain the target charging pile number MCZo of each small area;
SS 9: and sending the calculated target charging pile number MCZo of each small area to a server, and carrying out optimized layout on the charging pile number of each small area by the server according to the target charging pile number.
The timing reminding module is used for reminding the insufficient electric quantity of the charging vehicle, and the specific reminding steps are as follows:
p1: acquiring the current electric quantity of the charging vehicle, and marking the current electric quantity of the charging vehicle as DL;
p2: acquiring the current geographic position and the target geographic position of the charging vehicle, and further acquiring the running distance JL of the charging vehicle;
p3: acquiring a vehicle speed CS of the charging vehicle, and obtaining a time T1 taken by the charging vehicle to reach the target geographical position by using T1 (JL/CS);
p4: acquiring an electric quantity consumption value DH of the charging vehicle, and calculating the time T2 used by the current electric quantity of the charging vehicle by using the value DL/DH of T2;
p5: the time T1 taken by the charging vehicle to reach the target geographic position is compared with the time T2 taken by the current electric quantity of the charging vehicle;
p6: if T1 > T2/2, an immediate charge signal is generated;
if T1 is less than or equal to T2/2, an immediate charging signal does not need to be generated;
p7: and sending the charging signal to the appointed mobile terminal.
The forced moving module is used for forcibly moving the charging vehicle reaching the preset waiting time; the timing reminding module further comprises an alarm unit, the alarm unit is used for giving an alarm to a vehicle which is charged and does not move after waiting time is reached, the timing reminding module is further used for moving the vehicle to remind after the charging of the charging vehicle is completed, and the specific reminding steps are as follows:
w1: acquiring the real-time electric quantity of the charging vehicle, and marking the real-time electric quantity as SD; acquiring the battery capacity of a charging vehicle, marking the battery capacity as DR, and obtaining the required charging quantity SL of the charging vehicle by using SL ═ SD-DR;
w2: acquiring the charging rate CSL of the charging pile, and dividing the required charging quantity SL of the charging vehicle by the charging rate CSL of the charging pile to obtain the charging time length T3 of the charging vehicle;
w3: when the charging time of the charging vehicle reaches the charging time length T3, the timing reminding module generates a vehicle moving signal and sends the vehicle moving signal to a mobile terminal corresponding to the charging vehicle;
w4: after waiting time T4, if the position of the charging vehicle is still parked in the charging area range of the charging pile, the timing reminding module generates an alarm signal, and the alarm signal is sent to a mobile terminal corresponding to the charging vehicle in a telephone form; after the waiting time T5, if the position of the charging vehicle is still parked in the charging area range of the charging pile, the timing reminding module generates an alarm signal, the alarm signal is sent to the alarm unit, the alarm unit receives the alarm signal, generates a forced vehicle moving signal, and sends the forced vehicle moving signal to the forced vehicle moving module, wherein T4 and T5 are set waiting time thresholds, and T4 is greater than T5.
The safety analysis module is used for carrying out safety analysis on the charging pile which is being charged, and the specific analysis process is as follows:
k1: acquiring the charging time of a charging vehicle, and dividing the charging time into a plurality of time points t;
k2: acquiring a temperature value WDt, a voltage value DYt and a current value DLt of the charging pile at a corresponding time point t;
k3: obtaining an average temperature value WDp, an average voltage value DYp and an average current value DLp of the charging pile in the charging time by using an addition and averaging formula;
k4: acquiring temperature limit values, voltage limit values and current limit values of the charging pile at a plurality of time points t, wherein the temperature limit values comprise a temperature upper limit value WDmax, a temperature lower limit value WDmin, a voltage upper limit value DYmax, a voltage lower limit value DYmin, a current upper limit value DLmax and a current lower limit value DLmin;
k5: the safety value AQ of the charging pile during the charging time is calculated by using a formula, wherein the specific formula is as follows:
k6: and if the safety value AQ exceeds a set safety threshold value, generating a charging safety signal and loading the charging safety signal into the server.
The task allocation module is used for allocating maintenance tasks of the charging pile, and the specific allocation process is as follows:
SO 1: charging personnel shoot a charging pile damage picture through the mobile terminal, the charging pile damage picture is uploaded to the server, and maintenance task allocation is carried out after background personnel confirm that the charging pile is damaged;
SO 2: acquiring a maintenance worker in an idle state, and marking the maintenance worker as e, e as 1, … …, n;
SO 3: the total maintenance times WZe and WCe of the charging piles of maintenance personnel are obtained, and the maintenance success rate We of the maintenance personnel is obtained by dividing the total maintenance times WZe of the charging piles by the maintenance success times WCe of the charging piles;
SO 4: acquiring the current maintenance task amount of maintenance personnel, and marking the current maintenance task amount as WRe; acquiring total maintenance time WTE of all charging piles of maintenance personnel, and calculating average maintenance time WPTe of the maintenance personnel by dividing the total maintenance time WTE by the total maintenance times WZe of the charging piles;
SO 5: the maintenance value WXe of the maintenance personnel is calculated by using a formula, wherein the specific formula is as follows:
SO 6: acquiring the working duration of a maintenance worker, and marking the working duration as Te; establishing a two-dimensional coordinate system by taking the fault charging pile as an original point, and calculating a straight-line distance De between a maintenance worker and the fault charging pile by using a distance formula between two points;
SO 7: obtaining the maintenance price of a maintenance worker, marking the maintenance price as Pe, obtaining the goodness of the maintenance worker, and marking the goodness as He;
SO 8: calculating to obtain a recommended value Ve by using a formula, wherein the specific calculation formula is as follows:
SO 9: and selecting the maintainer with the largest electing value as the maintainer of the charging pile, and increasing the maintenance amount of the maintainer once.
The energy optimization intelligent control method of the parking lot charging pile specifically comprises the following steps:
the method comprises the following steps: the method comprises the steps that a user and a maintenance person register and log in through a mobile terminal, personal information is sent to a server, a data acquisition module acquires data and sends the data to the server, a reservation module is used for sending a reservation charging request of the user, a reservation analysis module is used for performing reservation analysis on the reservation charging request, the number of the mobile terminal is firstly obtained, then the number of times of sending the reservation charging request by the mobile terminal, the electric quantity of a vehicle corresponding to the mobile terminal, the reservation duration of sending the reservation charging request by the mobile terminal and the member grade of the mobile terminal are obtained, a reservation priority value is calculated by a formula, the reservation priority value is arranged in a descending order to generate a descending order arrangement table of the reservation priority value, and the server processes the reservation charging request of the mobile terminal from top to bottom according to the descending order arrangement table of the reservation priority value;
step two: the method comprises the steps of performing optimization analysis on the layout of charging piles through a layout analysis module, firstly obtaining the area where the charging piles are located, equally dividing the area into a plurality of small areas, obtaining the number of charging vehicles and the total number of vehicles in each small area, obtaining the charging vehicle utilization rate of each small area by dividing the number of the charging vehicles by the total number of the vehicles, then obtaining the total number of charging times and the number of charging piles of each small area, obtaining the average charging times of the charging piles in each small area by dividing the total number of the charging times by the number of the charging piles, obtaining the number of the charging piles with the charging times exceeding the average charging times in each small area in a traversing manner, obtaining the effective utilization rate of the charging piles in each small area by dividing the number of the charging piles with the charging times exceeding the average charging times in each small area by the number of the charging piles in each small area, and obtaining the actual utilization rate of the charging piles in each small area by a formula, finally, the area of the area where the charging pile is located is obtained, the area of each small area is obtained, the mounting distance of the charging piles is preset in advance, the preset charging pile number of each small area is obtained, the preset charging pile number of each small area is multiplied by the actual utilization rate of the charging pile in each small area to obtain the target charging pile number of each small area, the target charging pile number of each small area obtained through calculation is sent to a server, and the server optimizes the layout of the charging pile number of each small area according to the target charging pile number;
step three: the method comprises the steps that a timing reminding module is used for reminding insufficient electric quantity of a charging vehicle, the current electric quantity, the current geographic position and the target geographic position of the charging vehicle are firstly obtained, the running distance of the charging vehicle is further obtained, the vehicle speed of the charging vehicle is obtained, the time of the charging vehicle reaching the target geographic position is calculated, the electric quantity consumption value of the charging vehicle is obtained, the time of the charging vehicle reaching the current electric quantity is calculated, the time of the charging vehicle reaching the target geographic position is compared with the time of the charging vehicle reaching the current electric quantity, if T1 is greater than T2/352, an immediate charging signal is generated, if T1 is not greater than T2/2, the immediate charging signal does not need to be generated, and the generated charging signal is sent to a designated mobile terminal;
step four: the method comprises the steps that safety analysis is carried out on a charging pile which is being charged through a safety analysis module, firstly, the charging time of a charging vehicle is obtained, the charging time is divided into a plurality of time points, the temperature value, the voltage value and the current value of the charging pile at the corresponding time points are obtained, the average temperature value, the average voltage value and the average current value of the charging pile in the charging time are obtained through an addition and averaging formula, then, the temperature limit value, the voltage limit value and the current limit value of the charging pile in the plurality of time points are obtained, finally, the safety value of the charging pile in the charging time is obtained through formula calculation, and if the safety value exceeds a set safety threshold value, a charging safety signal is generated and loaded into a server;
step five: the maintenance tasks of the charging piles are distributed through the task distribution module, charging personnel shoot a damaged photo of the charging piles through the mobile terminal and upload the damaged photo to the server, background personnel confirm that the charging piles are damaged and then distribute the maintenance tasks, firstly, maintenance personnel in an idle state are obtained, then, the maintenance success rate of the maintenance personnel is obtained, the current maintenance task amount and the average maintenance time are obtained, the maintenance value of the maintenance personnel is calculated through a formula, the job entry time of the maintenance personnel is obtained again, the linear distance between the maintenance personnel and the fault charging pile is obtained, the maintenance price and the good evaluation rate are obtained, the recommended value is calculated through the formula, and the maintenance personnel with the largest value is selected as the maintenance personnel of the charging piles.
The above formulas are all quantitative calculation, the formula is a formula obtained by acquiring a large amount of data and performing software simulation to obtain the latest real situation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. An energy optimization intelligent control system of a parking lot charging pile is characterized by comprising a data acquisition module, a positioning module, an appointment analysis module, a task distribution module, a timing reminding module, a layout analysis module, a safety analysis module, a server and a plurality of mobile terminals;
the mobile terminals are used for registering and logging in by users and maintenance personnel and sending personal information to the server;
the data acquisition module is used for acquiring the interface type of the charging pile, the power consumption of the vehicle, the vehicle speed, the electric quantity of the vehicle, a picture of the charging pile, the charging rate of the charging pile, the quantity of the charging pile and the area of the area, and sending the interface type of the charging pile, the power consumption of the vehicle, the vehicle speed, the electric quantity of the vehicle, the picture of the charging pile, the charging rate of the charging pile, the quantity of the charging pile and the area of the area to the server; the positioning module is used for positioning the geographic positions of the charging vehicles and the charging piles; the reservation module is used for sending a reservation charging request to a user through a mobile terminal and sending the reservation charging request to the reservation analysis module; the reservation analysis module is used for performing reservation analysis on the reservation charging request;
the layout analysis module is used for carrying out optimization analysis on the layout of the charging pile, and the specific analysis process is as follows:
SS 1: acquiring an area where a charging pile is located, and equally dividing the area into a plurality of small areas o, o being 1, … …, n;
SS 2: acquiring the number of the charging vehicles in each small area, and marking the number of the charging vehicles as CCo; acquiring the total number of vehicles in each small area, marking the total number of the vehicles as Co, and dividing the total number of the vehicles Co by the number of the charged vehicles CCo to obtain the charging vehicle utilization rate CCLo of each small area;
SS 3: acquiring the total charging times and the number of charging piles of each small area, and dividing the total charging times by the number of charging piles to obtain the average charging times of the charging piles in each small area;
SS 4: the using times of the charging piles in each cell are obtained in a traversing mode, and then the number of the charging piles of which the charging times exceed the average charging times in each cell is obtained;
SS 5: dividing the number of the charging piles of which the charging times exceed the average charging time in each small area by the number of the charging piles in each small area to obtain the effective utilization rate CZLo of the charging piles in each small area;
SS 6: obtaining the actual utilization rate CPo of the charging pile in each cell by using a formula CPo ═ [ (CCLo + CZLo)/2] × 100%;
SS 7: acquiring the area of a region where charging piles are located, further acquiring the area M of each small region, presetting a charging pile installation distance J, and acquiring the number YCZo of the charging piles in each small region;
SS 8: multiplying the preset charging pile number YCZo of each small area by the actual utilization rate CPo of the charging pile in each small area to obtain the target charging pile number MCZo of each small area;
SS 9: sending the calculated target charging pile number MCZo of each small area to a server, and carrying out optimized layout on the charging pile number of each small area by the server according to the target charging pile number;
the timing reminding module is used for reminding the insufficient electric quantity of the charging vehicle; the safety analysis module is used for carrying out safety analysis on the charging pile which is being charged; and the task distribution module is used for distributing maintenance tasks of the charging pile.
2. The system of claim 1, wherein the specific analysis process of the reservation analysis module is as follows:
s1: acquiring the number of the mobile terminals, and marking the mobile terminals as u, u being 1, … …, n;
s2: acquiring the times of sending the charging reservation request by the mobile terminal, and marking the times of sending the charging reservation request by the mobile terminal as Cu;
s3: acquiring the electric quantity of a vehicle corresponding to the mobile terminal, and marking the electric quantity of the vehicle corresponding to the mobile terminal as Du;
s4: acquiring the reservation time length of the reservation charging request sent by the mobile terminal, and marking the reservation time length of the reservation charging request sent by the mobile terminal as Tu;
s5: acquiring a member level Hui, i of the mobile terminal is 1, 2, 3, 4; wherein, Hu1 is X1, Hu2 is X2, Hu3 is X3, Hu4 is X4, X1, X2, X3 and X4 are all preset fixed values, and X1 is more than X2 is more than X3 is more than X4;
s6: calculating a reservation priority value Yu of the mobile terminal by using a formula, wherein the specific formula is as follows:
s7: and the server processes the reservation charging request of the mobile terminal from top to bottom according to the reservation priority value descending order list.
3. The energy optimization intelligent control system of the parking lot charging pile according to claim 1, wherein the specific reminding steps of the timing reminding module are as follows:
p1: acquiring the current electric quantity of the charging vehicle, and marking the current electric quantity of the charging vehicle as DL;
p2: acquiring the current geographic position and the target geographic position of the charging vehicle, and further acquiring the running distance JL of the charging vehicle;
p3: acquiring a vehicle speed CS of the charging vehicle, and obtaining a time T1 taken by the charging vehicle to reach the target geographical position by using T1 (JL/CS);
p4: acquiring an electric quantity consumption value DH of the charging vehicle, and calculating the time T2 used by the current electric quantity of the charging vehicle by using the value DL/DH of T2;
p5: the time T1 taken by the charging vehicle to reach the target geographic position is compared with the time T2 taken by the current electric quantity of the charging vehicle;
p6: if T1 > T2/2, an immediate charge signal is generated;
if T1 is less than or equal to T2/2, an immediate charging signal does not need to be generated;
p7: and sending the charging signal to the appointed mobile terminal.
4. The system of claim 1, wherein the safety analysis module comprises the following specific analysis processes:
k1: acquiring the charging time of a charging vehicle, and dividing the charging time into a plurality of time points t;
k2: acquiring a temperature value WDt, a voltage value DYt and a current value DLt of the charging pile at a corresponding time point t;
k3: obtaining an average temperature value WDp, an average voltage value DYp and an average current value DLp of the charging pile in the charging time by using an addition and averaging formula;
k4: acquiring temperature limit values, voltage limit values and current limit values of the charging pile at a plurality of time points t, wherein the temperature limit values comprise a temperature upper limit value WDmax, a temperature lower limit value WDmin, a voltage upper limit value DYmax, a voltage lower limit value DYmin, a current upper limit value DLmax and a current lower limit value DLmin;
k5: the safety value AQ of the charging pile during the charging time is calculated by using a formula, wherein the specific formula is as follows:
k6: and if the safety value AQ exceeds a set safety threshold value, generating a charging safety signal and loading the charging safety signal into the server.
5. The system of claim 1, wherein the task allocation module is configured to perform the following specific allocation process:
SO 1: charging personnel shoot a charging pile damage picture through the mobile terminal, the charging pile damage picture is uploaded to the server, and maintenance task allocation is carried out after background personnel confirm that the charging pile is damaged;
SO 2: acquiring a maintenance worker in an idle state, and marking the maintenance worker as e, e as 1, … …, n;
SO 3: the total maintenance times WZe and WCe of the charging piles of maintenance personnel are obtained, and the maintenance success rate We of the maintenance personnel is obtained by dividing the total maintenance times WZe of the charging piles by the maintenance success times WCe of the charging piles;
SO 4: acquiring the current maintenance task amount of maintenance personnel, and marking the current maintenance task amount as WRe; acquiring total maintenance time WTE of all charging piles of maintenance personnel, and calculating average maintenance time WPTe of the maintenance personnel by dividing the total maintenance time WTE by the total maintenance times WZe of the charging piles;
SO 5: the maintenance value WXe of the maintenance personnel is calculated by using a formula, wherein the specific formula is as follows:
SO 6: acquiring the working duration of a maintenance worker, and marking the working duration as Te; establishing a two-dimensional coordinate system by taking the fault charging pile as an original point, and calculating a straight-line distance De between a maintenance worker and the fault charging pile by using a distance formula between two points;
SO 7: obtaining the maintenance price of a maintenance worker, marking the maintenance price as Pe, obtaining the goodness of the maintenance worker, and marking the goodness as He;
SO 8: calculating to obtain a recommended value Ve by using a formula, wherein the specific calculation formula is as follows:
SO 9: and selecting the maintainer with the largest electing value as the maintainer of the charging pile, and increasing the maintenance amount of the maintainer once.
6. The system of claim 1, wherein the personal information comprises user information and maintenance personnel information, and the user information comprises user name, identity number, real-name authentication mobile phone number, corresponding vehicle number and vehicle charging interface type;
the maintenance personnel information comprises maintenance personnel names, identity numbers, real-name authentication mobile phone numbers, personal photos and maintenance information, wherein the maintenance information comprises the job entry time, the total maintenance times, the successful maintenance times, the maintenance task amount, the total maintenance duration, the total maintenance times, the maintenance price and the maintenance qualification rate; and the mobile terminal is also used for uploading a charging pile picture.
7. The system of claim 1, wherein the location module is further configured to obtain a target geographic location of the charging vehicle.
8. The energy optimization intelligent control method of the parking lot charging pile is characterized by comprising the following steps:
the method comprises the following steps: the method comprises the steps that a user and a maintenance person register and log in through a mobile terminal, personal information is sent to a server, a data acquisition module acquires data and sends the data to the server, a reservation module is used for sending a reservation charging request of the user, a reservation analysis module is used for performing reservation analysis on the reservation charging request, the number of the mobile terminal is firstly obtained, then the number of times of sending the reservation charging request by the mobile terminal, the electric quantity of a vehicle corresponding to the mobile terminal, the reservation duration of sending the reservation charging request by the mobile terminal and the member grade of the mobile terminal are obtained, a reservation priority value is calculated by a formula, the reservation priority value is arranged in a descending order to generate a descending order arrangement table of the reservation priority value, and the server processes the reservation charging request of the mobile terminal from top to bottom according to the descending order arrangement table of the reservation priority value;
step two: the method comprises the steps of performing optimization analysis on the layout of charging piles through a layout analysis module, firstly obtaining the area where the charging piles are located, equally dividing the area into a plurality of small areas, obtaining the number of charging vehicles and the total number of vehicles in each small area, obtaining the charging vehicle utilization rate of each small area by dividing the number of the charging vehicles by the total number of the vehicles, then obtaining the total number of charging times and the number of charging piles of each small area, obtaining the average charging times of the charging piles in each small area by dividing the total number of the charging times by the number of the charging piles, obtaining the number of the charging piles with the charging times exceeding the average charging times in each small area in a traversing manner, obtaining the effective utilization rate of the charging piles in each small area by dividing the number of the charging piles with the charging times exceeding the average charging times in each small area by the number of the charging piles in each small area, and obtaining the actual utilization rate of the charging piles in each small area by a formula, finally, the area of the area where the charging pile is located is obtained, the area of each small area is obtained, the mounting distance of the charging piles is preset in advance, the preset charging pile number of each small area is obtained, the preset charging pile number of each small area is multiplied by the actual utilization rate of the charging pile in each small area to obtain the target charging pile number of each small area, the target charging pile number of each small area obtained through calculation is sent to a server, and the server optimizes the layout of the charging pile number of each small area according to the target charging pile number;
step three: the method comprises the steps that a timing reminding module is used for reminding insufficient electric quantity of a charging vehicle, the current electric quantity, the current geographic position and the target geographic position of the charging vehicle are firstly obtained, the running distance of the charging vehicle is further obtained, the vehicle speed of the charging vehicle is obtained, the time of the charging vehicle reaching the target geographic position is calculated, the electric quantity consumption value of the charging vehicle is obtained, the time of the charging vehicle reaching the current electric quantity is calculated, the time of the charging vehicle reaching the target geographic position is compared with the time of the charging vehicle reaching the current electric quantity, if T1 is greater than T2/352, an immediate charging signal is generated, if T1 is not greater than T2/2, the immediate charging signal does not need to be generated, and the generated charging signal is sent to a designated mobile terminal;
step four: the method comprises the steps that safety analysis is carried out on a charging pile which is being charged through a safety analysis module, firstly, the charging time of a charging vehicle is obtained, the charging time is divided into a plurality of time points, the temperature value, the voltage value and the current value of the charging pile at the corresponding time points are obtained, the average temperature value, the average voltage value and the average current value of the charging pile in the charging time are obtained through an addition and averaging formula, then, the temperature limit value, the voltage limit value and the current limit value of the charging pile in the plurality of time points are obtained, finally, the safety value of the charging pile in the charging time is obtained through formula calculation, and if the safety value exceeds a set safety threshold value, a charging safety signal is generated and loaded into a server;
step five: the maintenance tasks of the charging piles are distributed through the task distribution module, charging personnel shoot a damaged photo of the charging piles through the mobile terminal and upload the damaged photo to the server, background personnel confirm that the charging piles are damaged and then distribute the maintenance tasks, firstly, maintenance personnel in an idle state are obtained, then, the maintenance success rate of the maintenance personnel is obtained, the current maintenance task amount and the average maintenance time are obtained, the maintenance value of the maintenance personnel is calculated through a formula, the job entry time of the maintenance personnel is obtained again, the linear distance between the maintenance personnel and the fault charging pile is obtained, the maintenance price and the good evaluation rate are obtained, the recommended value is calculated through the formula, and the maintenance personnel with the largest value is selected as the maintenance personnel of the charging piles.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011092607.9A CN112208384B (en) | 2020-10-13 | 2020-10-13 | Energy optimization intelligent control system and method for parking lot charging pile |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011092607.9A CN112208384B (en) | 2020-10-13 | 2020-10-13 | Energy optimization intelligent control system and method for parking lot charging pile |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112208384A CN112208384A (en) | 2021-01-12 |
| CN112208384B true CN112208384B (en) | 2021-12-07 |
Family
ID=74053940
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011092607.9A Active CN112208384B (en) | 2020-10-13 | 2020-10-13 | Energy optimization intelligent control system and method for parking lot charging pile |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112208384B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113765131B (en) * | 2021-11-10 | 2022-02-18 | 深圳市今朝时代股份有限公司 | Distributed energy storage system and method based on super capacitor |
| CN114475895B (en) * | 2021-12-16 | 2024-06-28 | 北京骑胜科技有限公司 | Shared vehicle, charging failure determination method, medium, and program product |
| CN114211996A (en) * | 2021-12-17 | 2022-03-22 | 山东智捷充科技有限公司 | Multichannel distributing type electric automobile alternating current charging system |
| CN115648995B (en) * | 2022-12-12 | 2023-03-17 | 长沙恒电聚能电子科技有限公司 | Noninductive ordered charging method for electric automobile |
| CN117252419B (en) * | 2023-09-27 | 2024-04-19 | 珠海康晋电气股份有限公司 | New energy charging pile charging process early warning system based on artificial intelligence |
| CN117875672B (en) * | 2024-03-11 | 2024-06-04 | 云南山高新能源有限公司 | Electric vehicle charging station management system |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105730278A (en) * | 2016-03-16 | 2016-07-06 | 广州橙行智动汽车科技有限公司 | Intelligent charging management system for electric automobile |
| CN107351694A (en) * | 2016-05-09 | 2017-11-17 | 比亚迪股份有限公司 | Mobile charging method, apparatus and system for vehicle |
| CN107618381A (en) * | 2017-02-10 | 2018-01-23 | 上海蔚来汽车有限公司 | Automobile synthesis complementary energy system and method, storage medium based on mobile Internet |
| CN107627870A (en) * | 2017-08-21 | 2018-01-26 | 中国科学院青岛生物能源与过程研究所 | A kind of intelligent sharing energy block with positioning reservation and identity recognition function |
| CN107640049A (en) * | 2017-09-20 | 2018-01-30 | 东北大学 | The mobile terminal system that a kind of electric automobile for charging station charges in order |
| CN108694856A (en) * | 2018-06-25 | 2018-10-23 | 彭宁 | A kind of intelligent parking system and its control method based on shared charging station |
| CN109532548A (en) * | 2018-12-12 | 2019-03-29 | 北京智行者科技有限公司 | A kind of charging service method |
| CN109969010A (en) * | 2019-04-09 | 2019-07-05 | 苏州经贸职业技术学院 | A kind of charge control system of shared mobile device |
| CN110225081A (en) * | 2019-04-30 | 2019-09-10 | 广州大学 | Information of charging pile supplying system and method |
| CN110278194A (en) * | 2019-05-22 | 2019-09-24 | 仲恺农业工程学院 | Intelligent control system with photovoltaic system and charging pile for vertical stereo garage and control method of intelligent control system |
| CN110281807A (en) * | 2019-06-28 | 2019-09-27 | 上海电力学院 | A kind of matching process and system for electric car and charging pile |
| CN110682816A (en) * | 2019-09-29 | 2020-01-14 | 重庆国翰能源发展有限公司 | Electric automobile charging system |
| CN111251933A (en) * | 2018-11-30 | 2020-06-09 | 杭州派尼澳电子科技有限公司 | Intelligent charging method for electric bicycle |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7907062B2 (en) * | 2008-01-31 | 2011-03-15 | Hitachi Global Sotrage Technologies Netherlands B.V. | Dual direction power and data transfer protocol and safety detection |
-
2020
- 2020-10-13 CN CN202011092607.9A patent/CN112208384B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105730278A (en) * | 2016-03-16 | 2016-07-06 | 广州橙行智动汽车科技有限公司 | Intelligent charging management system for electric automobile |
| CN107351694A (en) * | 2016-05-09 | 2017-11-17 | 比亚迪股份有限公司 | Mobile charging method, apparatus and system for vehicle |
| CN107618381A (en) * | 2017-02-10 | 2018-01-23 | 上海蔚来汽车有限公司 | Automobile synthesis complementary energy system and method, storage medium based on mobile Internet |
| CN107627870A (en) * | 2017-08-21 | 2018-01-26 | 中国科学院青岛生物能源与过程研究所 | A kind of intelligent sharing energy block with positioning reservation and identity recognition function |
| CN107640049A (en) * | 2017-09-20 | 2018-01-30 | 东北大学 | The mobile terminal system that a kind of electric automobile for charging station charges in order |
| CN108694856A (en) * | 2018-06-25 | 2018-10-23 | 彭宁 | A kind of intelligent parking system and its control method based on shared charging station |
| CN111251933A (en) * | 2018-11-30 | 2020-06-09 | 杭州派尼澳电子科技有限公司 | Intelligent charging method for electric bicycle |
| CN109532548A (en) * | 2018-12-12 | 2019-03-29 | 北京智行者科技有限公司 | A kind of charging service method |
| CN109969010A (en) * | 2019-04-09 | 2019-07-05 | 苏州经贸职业技术学院 | A kind of charge control system of shared mobile device |
| CN110225081A (en) * | 2019-04-30 | 2019-09-10 | 广州大学 | Information of charging pile supplying system and method |
| CN110278194A (en) * | 2019-05-22 | 2019-09-24 | 仲恺农业工程学院 | Intelligent control system with photovoltaic system and charging pile for vertical stereo garage and control method of intelligent control system |
| CN110281807A (en) * | 2019-06-28 | 2019-09-27 | 上海电力学院 | A kind of matching process and system for electric car and charging pile |
| CN110682816A (en) * | 2019-09-29 | 2020-01-14 | 重庆国翰能源发展有限公司 | Electric automobile charging system |
Non-Patent Citations (1)
| Title |
|---|
| 《电动汽车充电站智能负荷控制***》;马碧燕;《轻工科技》;20181231;第34卷(第7期);63-64 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112208384A (en) | 2021-01-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112208384B (en) | Energy optimization intelligent control system and method for parking lot charging pile | |
| CN112713592A (en) | Charging station scheduling method based on big data analysis | |
| CN108648353B (en) | Electric automobile fills electric pile system based on remote control | |
| CN108009652B (en) | Information display method, device, terminal equipment and computer readable storage medium | |
| CN108674220B (en) | Energy-saving charging pile reservation method and system | |
| CN108417022B (en) | Vehicle utilization scheduling method suitable for new energy special vehicle platform | |
| CN107169603A (en) | A kind of charging consultant cloud platform and its control method based on smart city | |
| CN108983638A (en) | Electric car charging recommender system and method | |
| CN102655335A (en) | Charging management system and method of district electric automobile based on queue management | |
| CN106530677B (en) | A kind of school bus dispatching method and system based on real time information | |
| CN105389856A (en) | Free taxi taking O-P-D charging method | |
| CN106875576A (en) | A kind of electric bicycle charging management method and system | |
| CN112738228A (en) | New energy automobile charging system based on thing networking | |
| CN111106635A (en) | Method and device for determining charging mode | |
| CN111986337A (en) | Robot-based roadside parking charge management system and method | |
| CN114298559A (en) | Battery swapping method of battery swapping station, battery swapping management platform and storage medium | |
| CN107187327A (en) | A kind of electric vehicle alternating-current charging pile system | |
| CN117114156A (en) | Charging station matching method and device, electronic equipment and storage medium | |
| CN114841543A (en) | AI-based charging pile operation state management method, device and storage medium | |
| CN113752893A (en) | Electric vehicle charging method, device and system | |
| CN114254889A (en) | Method and system for queuing and scheduling vehicles in charging station, electronic equipment and storage medium | |
| CN109191860A (en) | Intelligent parking lot management system | |
| CN112214021A (en) | Automatic parking method, device, electronic equipment and computer readable storage medium | |
| CN111027909A (en) | Method for calculating work efficiency of park operation vehicle | |
| CN114228545B (en) | Intelligent energy-saving charging pile system for electric automobile and charging optimization method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |